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tileHMM (version 1.0-6)
Hidden Markov Models for ChIP-on-Chip Analysis
Description
This package provides methods and classes to build HMMs
that are suitable for the analysis of ChIP-on-chip data. The
provided parameter estimation methods include the Baum-Welch
algorithm and Viterbi training as well as a combination of
both.